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How to parse JSON strings using json.loads in Python

JSON parsing errors can arise from malformed data, unexpected types, or missing fields. Defensive programming includes type checking, handling null values, validating with jsonschema, and securing input from untrusted sources. Incremental parsing with libraries like ijson aids in managing large or streaming JSON data.

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How to convert Python objects to JSON strings with json.dumps in Python

jsonconvert, json.dumps, string

Common use cases for json.dumps include data interchange in web applications, particularly for APIs that convert Python dictionaries to JSON strings. It plays a crucial role in RESTful services, logging structured data, and serializing Python data for file or database storage. JSON is also favored for configuration settings due to its readability.